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Step 1. Launch Aspire and open the Content Source Management Page.

Launch Aspire (if it's not already running). See:


Step 2. Add a new Content Source.

  • For this step, please follow the step from the Configuration Tutorial of the connector of your choice, please refer to the Connector list




Step 3. Add an 

Azure OpenAI Chat Completions

Gen AI Client application to the Workflow.

To add an Azure OpenAI Chat Completions Gen AI Client application, drag it from the Applicationssection to the desired Workflow event. This will automatically open the Azure OpenAI Chat Completions Gen AI Client configuration for the application.





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Step 3a.

Specify Prompt Type

Initialization script.

 In the “General” configuration section, specify the type of prompt to use. Currently, “User”, “System” and “Assistant” types are supported.
TODO

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Step 3b.

Specify Prompt Text.

 In the “General” configuration section, specify the text for your prompt. It can be plain text or a groovy script that must have text as its final output.

Processing script.

 TODO

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Step 3c.

Add more prompts (optional).

 Optionally, in the “General” section, you can add as many prompts as desired. You must then, again, specify a prompt type and a prompt text for each of them.

Authentication

 TODO

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Step 3d.

Configure the Endpoint.

 In the “Endpoint Configuration” section, specify the API version and model to be used.

Connection.

TODO

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Step 3e.

Configure Model Parameters.

 In the “Model Parameters” section, specify parameters to be used with the Model specified in the previous step.

After this, you can press the add button to finish the workflow.

Now the workflow application is ready to be used in your Aspire Seeds.

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External Resources.

TODO

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Step 3f. General.

TODO

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Output example.

Here is an example of the output. The application will add a “chatCompletionsResponse” object to the document, which in turn will have:

  • the response content in a “content” field,
  • a “responseProperties” field with response properties, including usage statistics,
  • a “requestProperties” field, with the corresponding request properties and finally,
  • a “modelProperties” field with the properties with which the model was configured.

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Info

For details on using the Workflow section, please refer to the Workflow introduction.